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Codebase Memory transforms your project's source code into a detailed, persistent knowledge graph, offering a highly efficient alternative to traditional file-by-file exploration. It meticulously parses 35 programming languages to extract functions, classes, modules, call relationships, and cross-service HTTP links using tree-sitter. This structural analysis backend drastically reduces token consumption for AI assistants by providing precise, context-rich results through Cypher-like queries, seamlessly integrating with MCP-compatible clients like Claude Code, Cursor, and Codex CLI, or via its own powerful CLI mode.
